Data for: Machine learning for inventory management: Analyzing two concepts to get from data to decisions

Name: Data for: Machine learning for inventory management: Analyzing two concepts to get from data to decisions
Creator: Fabian Taigel
Published: 2020-03-21T13:45:35.161Z
Keywords: Inventory Management

Taigel, Fabian; Meller, Jan

doi:10.17632/7s3ys9ntnz.1

Data for: Machine learning for inventory management: Analyzing two concepts to get from data to decisions

Published: 21 March 2020| Version 1 | DOI: 10.17632/7s3ys9ntnz.1

Contributors:

Fabian Taigel, Jan Meller

Description

Over two years of daily sales data from a restaurant in Stuttgart, Germany. Number of servings sold for 7 products (CALAMARI, FISCH, GARNELEN, HAEHNCHEN, KOEFTE, LAMM, STEAK). Features include calendar informations such as weekday or special events, information derived from historical sales as well as weather from the local weather station.

Data for: Machine learning for inventory management: Analyzing two concepts to get from data to decisions

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